Lectures

You can watch recordings of the Spring 2022 lecture videos online.

You can watch recordings of the Fall 2020 lecture videos online. Recordings are saved on Panopto and require a UNI login.

The lecture schedule will be updated as the term progresses.

Pre-course

Make sure to fill out the pre-course survey that is available on Slack.

Make sure you are registered for the course Gradescope, JupyterHub, and EdStem.

Computation: Python & Tables

Date	Topic	Reading	Assignment
Tue, Jan 18, 2022	Lecture 1 Course Introduction Correlation & Causation [slides]	Chapter 1 - What is Data Science? Chapter 2 - Causality and Experiments Jeannette M. Wing, Computational Thinking	Lab 0 - Python Intro (Due Mon, Jan 24, 2022)
Thu, Jan 20, 2022	Lecture 2 Data Types, Expressions [slides] [empty notebook] [completed notebook]	Chapter 3.1 - 3.3: Programming in Python Chapter 4: Data Types	HW 0 - Causality and Expressions (Due Thu, Jan 27, 2022)
Tue, Jan 25, 2022	Lecture 3 Tables, Arrays, & Sequences [slides] [empty notebook] [completed notebook]	Chapter 3.4: Introduction to Tables Chapter 5: Sequences	Lab 1 - Table operations (Due Mon, Jan 31, 2022)
Thu, Jan 27, 2022	Lecture 4 More Tables [slides] [empty notebook] [completed notebook]	Chapter 6: Tables
Fri, Jan 28, 2022	Last Day to Register

Exploration

Date	Topic	Reading	Assignment
Tue, Feb 1, 2022	Lecture 5 Visualization [slides] [empty notebook] [completed notebook]	Chapter 7 (intro): Visualization Chapter 7.1 Categorical Distributions	HW 1 - Arrays and Tables (Due Mon, Feb 7, 2022) Lab 2 - Data Types and Arrays (Due Mon, Feb 7, 2022)
Thu, Feb 3, 2022	Lecture 6 Histograms [slides] [empty notebook]	Chapter 7.2 Numerical Distributions Chapter 7.3 Overlaid Graphs
Tue, Feb 8, 2022	Lecture 7 Functions & Apply, Group, Pivot No Lecture	Chapter 8. Functions and Tables	HW 2 - Table Manipulation and Visualization (Due Mon, Feb 14, 2022) Lab 3 - Functions and Visualizations (Due Mon, Feb 14, 2022)
Thu, Feb 10, 2022	Lecture 7 ~~Pivot, Joins, & Comparisons~~ Functions & Apply [slides] [empty notebook] [completed notebook]	Chapter 8. Functions and Tables
Tue, Feb 15, 2022	Lecture 8 ~~Control Statements (If, For) & Randomness~~ Group, Pivot, Join [slides] [empty notebook] [completed notebook]		HW 3 - Functions, Histograms, and Groups (Due Mon, Feb 21, 2022)
Thu, Feb 17, 2022	Lecture 9 Comparisons & Control Statements [slides] [empty notebook]	Chapter 9 Randomness (9, 9.1, 9.2, 9.3)	Project 1 (Due Thu, Mar 3, 2022)

Inference

Date	Topic	Reading	Assignment
Tue, Feb 22, 2022	Lecture 10 Control Statements (loops) Randomess [slides] [empty notebook] [completed notebook]	Chapter 9.2 & 9.3	HW 4 - Applying Functions and Iteration (Due Tue, Mar 1, 2022) Lab 4 - Simulations (Due Mon, Feb 28, 2022)
Tue, Feb 22, 2022	Last day to drop
Thu, Feb 24, 2022	Lecture 11 Monty Hall Probabilities Simulations [slides] [empty notebook] [completed notebook]	Chapter 9.3 - Simulation ~~"Chapter 9.4 - The Monty Hall Problem"~~ ~~"Chapter 9.5 - Finding Probabilites"~~
Tue, Mar 1, 2022	Cancelled class
Thu, Mar 3, 2022	Lecture 12 Monty Hall Probabilities [slides] [completed notebook]	Chapter 9.4 - The Monty Hall Problem Chapter 9.5 - Finding Probabilites	HW 5 - Probability, Simulation, Estimation, and Assessing Models (Due Fri, Mar 11, 2022) Lab 5 - Examining the Therapeutic Touch (Due Fri, Mar 11, 2022)
Tue, Mar 8, 2022	Lecture 13 Sampling, & Distributions [slides] [empty notebook] [completed notebook]	Chapter 10 - Sampling and Empirical Distributions Chapter 11.1 - Assessing a Model
Thu, Mar 10, 2022	Lecture 14 Statistic, Hypothesis Testing [slides] [empty notebook] [completed notebook]	Chapter 10.3 - Empirical Distribution of a Statistic Chapter 11.1 - Testing Hypotheses
Tue, Mar 15, 2022	Spring Break
Thu, Mar 17, 2022	Spring Break
Tue, Mar 22, 2022	Lecture 15 Comparing Distributions & Measuring Uncertainty [slides] [empty notebook] [completed notebook]	Chapter 11.2 - Multiple Categories Chapter 11.3 - Decisions and Uncertainty Chapter 11.4 - Error Probabilities	HW 6 - Testing Hypotheses (Due Thu, Mar 31, 2022) Lab 6 - Inference and the Death Penalty (Due Mon, Mar 28, 2022)
Thu, Mar 24, 2022	Lecture 16 A/B Testing [slides] [empty notebook] [completed notebook]	Chapter 12 - Comparing Two Samples
Tue, Mar 29, 2022	Lecture 17 Causality and Estimation Variability [slides] [empty notebook] [completed notebook]	Chapter 13 - 13.1 - Estimation	HW 7 - Confidence Intervals, The Bootstrap, and The Central Limit Theorem (Due Thu, Apr 7, 2022)
Thu, Mar 31, 2022	Lecture 18 Bootstrap Confidence Interval [slides] [empty notebook] [completed notebook]	Chapter 13 - Boostrap	Project 2 (released 04/04) (Due Mon, Apr 18, 2022)

Prediction

Date	Topic	Reading	Assignment
Tue, Apr 5, 2022	Lecture 19 Confidence Intervals Center and Spread Standard Deviations and Normal Distributions [slides] [empty notebook] [completed notebook]	Chapter 13.4. Using Confidence Intervals Chapter 14. Why the Mean Matter	HW 8 - Linear Regression (Due Thu, Apr 14, 2022)
Thu, Apr 7, 2022	Lecture 20 Correlation Nearest Neighbor Regression [slides] [empty notebook] [completed notebook]	Chapter 15. Prediction (introduction) Chapter 15.1 Correlation
Tue, Apr 12, 2022	Lecture 21 Linear Regression Least Squares & Residuals [slides] [empty notebook] [completed notebook]	Chapter 15. Prediction (15.2 - 15.6)	HW 9 - Regression Inference (Due Mon, Apr 25, 2022) Lab 8 - Regression (Due Mon, Apr 18, 2022)
Thu, Apr 14, 2022	Lecture 22 Regression Inference [slides] [empty notebook] [completed notebook]	Chapter 16. Inference for Regression	Project 3: Movie Classification (Due Mon, May 2, 2022)
Tue, Apr 19, 2022	Lecture 23 Regression Inference [slides] [empty notebook] [completed notebook]		HW 10 - Classification (Due Thu, Apr 28, 2022)
Thu, Apr 21, 2022	Lecture 24 Classification [slides] [empty notebook] [completed notebook]	Chapter 17 - Classification Chapter 17.1 - Nearest Neighbors Chapter 17.2 - Training and Testing Chapter 17.3 - Rows of Tables
Tue, Apr 26, 2022	Lecture 25 Final Project Classification II [slides] [completed notebook]	Chapter 17 - Classification
Thu, Apr 28, 2022	Lecture 26 Review [slides] [empty notebook]